Mindgard’s Dynamic Application Security Testing for AI (DAST-AI) offers organisations a pioneering solution to secure AI systems against emerging threats. Unlike traditional security tools, DAST-AI detects vulnerabilities unique to AI environments at runtime, addressing risks that would otherwise remain hidden. Covering a broad range of models, from LLMs to image, audio, and multimodal systems, Mindgard’s solution integrates seamlessly into existing CI/CD pipelines and requires only an inference or API endpoint, making it highly adaptable across the development lifecycle.

By automating AI security testing, Mindgard significantly reduces testing times from months to minutes, helping organisations uncover threats like prompt injections, model theft, and data leaks without disrupting innovation. It also simplifies compliance processes with features aligned to frameworks such as MITRE and OWASP, enhancing security posture reporting and compliance.

Mindgard’s flexible licensing model ensures accessibility for organisations of all sizes, while frequent platform updates provide protection against developing attacks. The solution delivers strong operational and financial benefits by reducing the need for manual testing and specialised expertise, leading to lower operational costs and faster speed-to-market for AI innovations. Businesses investing in Mindgard achieve a strong return on investment through proactive risk mitigation, operational efficiencies, and enhanced customer trust – particularly vital in highly regulated industries.

Although the AI security testing market is still evolving, Mindgard’s rapid adoption and industry partnerships position it as a leading force in shaping this critical sector, offering customers a scalable and forward-thinking approach to AI security.

Judges’ Comments:

“This entry effectively outlines how Mindgard addresses a critical market gap by detecting AI-specific vulnerabilities that traditional security tools overlook.”